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Greeley [361]
2 years ago
7

Solve For x and Solve For y:

Mathematics
1 answer:
Slav-nsk [51]2 years ago
5 0

Answer: y= 16.97 ×=7.27

Step-by-step explanation:

Click on file for workings

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What are the excluded values of x for
ss7ja [257]

Answer:

x = - 2, x = 9

Step-by-step explanation:

Given

f(x) = \frac{x^2-9x}{x^2-7x-18}

The denominator of f(x) cannot be zero as this would make f(x) undefined.

Equating the denominator to zero and solving gives the values that x cannot be.

x² - 7x - 18 = 0

(x - 9)(x + 2) = 0

Equate each factor to zero and solve for x

x + 2 = 0 ⇒ x = - 2

x - 9 = 0 ⇒ x = 9

The excluded values are x = - 2, x = 9

3 0
2 years ago
What is the direction and strength of the association between the variables?
lina2011 [118]

Answer: strong negative

7 0
3 years ago
PLZ HELP ASAP 20 POINTS WILL MARK BRAINLIEST THANK YOU
Ganezh [65]
55 dog
20 hamster
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7 0
3 years ago
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Plz help me i did it but messed up some ware plz help . 5x5=4x5+9=
Lyrx [107]

Answer: 25=29

Step-by-step explanation:5x5=25

4x5+9=29

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3 years ago
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A data set of 27 different numbers has a mean of 33 and a median of 33. A new data set is
Svetllana [295]

Answer:

Option D.

Step-by-step explanation:

Suppose that we have a set of N values:

{x₁, x₂, ..., xₙ}

The median is the value in the middle, and the mean is calculated as:

M = \frac{(x_1 + x_2 + x_3 ... + x_n)}{N}

Because here we have "the median" then we will assume that N is odd, and there is only one median, the value "k"  (if N was even, the median would be the mean of the two middle values, that case is really similar to the case where N is odd, so solving only one of the cases is enough)

Now we add 7 to all the values greater than the median

We subtract 7 to all values smaller than the median.

Then the median remains unchanged (because we did not add nor subtract anything to the median).

The new mean will be:

M' = \frac{(x_1 - 7) + (x_2 - 7) + ... + (x_{k}) + ... + (x_n + 7)}{N} = \frac{(x_1 + x_2 + ... + x_n) + (-7)*(n/2 - 0.5) + 7*(n/2 - 0.5)}{N}  = \frac{(x_1 + x_2 + ... + x_n)}{N} = M

So the mean does not change.

Because the mean is computed as the sum of the numbers divided by N, and the mean does not change, and N does not change, then the sum of the numbers does not change.

Finally, the standard deviation is computed as:

SD = \sqrt{\frac{(x_1 - M)^2 + ... + (xn - M)^2}{N} }

Because M does not change, if we add or subtract numbers to some of the values, the standard deviation will change (Because all the terms are squared, so the added and subtracted sevens don't cancel like in the previous cases)

Then the only value that does not have the same value in both the original and new data sets is the standard deviation.

6 0
3 years ago
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